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Return a Tensor with the same shape and contents as input.
tf.identity(
input, name=None
)
The return value is not the same Tensor as the original, but contains the same values. This operation is fast when used on the same device.
For example:
a = tf.constant([0.78])a_identity = tf.identity(a)a.numpy()array([0.78], dtype=float32)a_identity.numpy()array([0.78], dtype=float32)
Calling tf.identity on a variable will make a Tensor that represents the
value of that variable at the time it is called. This is equivalent to calling
<variable>.read_value().
a = tf.Variable(5)a_identity = tf.identity(a)a.assign_add(1)<tf.Variable ... shape=() dtype=int32, numpy=6>a.numpy()6a_identity.numpy()5
Args | |
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input
|
A Tensor, a Variable, a CompositeTensor or anything that can be
converted to a tensor using tf.convert_to_tensor.
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name
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A name for the operation (optional). |
Returns | |
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A Tensor or CompositeTensor. Has the same type and contents as input.
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